Numerous theoretical studies have revealed properties of attractor neural networks that make them a desirable neural mechanism for memory storage, such as robustness to damage, pattern completion, and generalization [11, 12].
Using observations of travel times and dispersion features of trapped waves, previous studies have revealed properties of the oceanic crust, such as its geometry, thickness, seismicity, and depth of eclogitization (e.g., Fukao et al. 1983; Hori 1990; Abers et al. 2003; Miyoshi et al. 2012).
It is less clear whether prions other that [PSI+] (Sup35) promote phenotypic variability but the recent results with the [MOT3+] prion, a repressor of transcription, revealed properties generally mimicking those of Sup35 [ 29].
Our systematic analysis of sequential remobilizations of the Tol2 transposon from two independent sites within a vertebrate genome has revealed properties such as a tendency to integrate into transcription units and into AT-rich palindrome-like sequences.
Studies to date on non-LEE-encoded effectors have revealed properties such as (i) targeting the Golgi apparatus, (ii) interfering with cellular division and (iii) playing roles in bacterial colonization (Chen and Frankel, 2005; Dean et al., 2005).
